Numerical Simulation of Annular Chromatography

Lutz Tobiska () and Angela Thiele
Additional contact information
Lutz Tobiska: Otto-von-Guericke-Universität Magdeburg, Institut für Analysis und Numerik
Angela Thiele: Otto-von-Guericke-Universität Magdeburg, Institut für Analysis und Numerik

A chapter in Mathematics — Key Technology for the Future, 2003, pp 194-203 from Springer

Abstract: Abstract This project is carried out jointly with Prof. Seidel-Morgenstern from the Institute for Process Engineering of university of Magdeburg and with the support of Schering AG at Berlin. Preparative chromatography attains increasing importance for the isolation and purification of value added products in the pharmaceutical industry and in biotechnology. The goal of this project is the numerical simulation of the separation process in an annular Chromatograph to study the influence of the main design parameters on the efficiency of the multicomponent separation. Simulations to optimize the separation process with the aim of a high efficiency of pure products are of special interests. On the basis of the mass balance equations a mathematical model is proposed and an efficient solution strategy is developed using streamline diffusion method, adaptive refinement and multigrid solver.

Keywords: Separation Process; Outflow Boundary; Pure Fraction; Adaptive Mesh Refinement; Multigrid Solver (search for similar items in EconPapers)
Date: 2003
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-55753-8_16

Ordering information: This item can be ordered from
http://www.springer.com/9783642557538

DOI: 10.1007/978-3-642-55753-8_16

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().